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The Pursuit of Chronically Reliable Neural Interfaces: A Materials Perspective

Brain–computer interfaces represent one of the most astonishing technologies in our era. However, the grand challenge of chronic instability and limited throughput of the electrode–tissue interface has significantly hindered the further development and ultimate deployment of such exciting technologi...

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Detalles Bibliográficos
Autor principal: Guo, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5186773/
https://www.ncbi.nlm.nih.gov/pubmed/28082862
http://dx.doi.org/10.3389/fnins.2016.00599
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author Guo, Liang
author_facet Guo, Liang
author_sort Guo, Liang
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description Brain–computer interfaces represent one of the most astonishing technologies in our era. However, the grand challenge of chronic instability and limited throughput of the electrode–tissue interface has significantly hindered the further development and ultimate deployment of such exciting technologies. A multidisciplinary research workforce has been called upon to respond to this engineering need. In this paper, I briefly review this multidisciplinary pursuit of chronically reliable neural interfaces from a materials perspective by analyzing the problem, abstracting the engineering principles, and summarizing the corresponding engineering strategies. I further draw my future perspectives by extending the proposed engineering principles.
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spelling pubmed-51867732017-01-12 The Pursuit of Chronically Reliable Neural Interfaces: A Materials Perspective Guo, Liang Front Neurosci Neuroscience Brain–computer interfaces represent one of the most astonishing technologies in our era. However, the grand challenge of chronic instability and limited throughput of the electrode–tissue interface has significantly hindered the further development and ultimate deployment of such exciting technologies. A multidisciplinary research workforce has been called upon to respond to this engineering need. In this paper, I briefly review this multidisciplinary pursuit of chronically reliable neural interfaces from a materials perspective by analyzing the problem, abstracting the engineering principles, and summarizing the corresponding engineering strategies. I further draw my future perspectives by extending the proposed engineering principles. Frontiers Media S.A. 2016-12-27 /pmc/articles/PMC5186773/ /pubmed/28082862 http://dx.doi.org/10.3389/fnins.2016.00599 Text en Copyright © 2016 Guo. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Guo, Liang
The Pursuit of Chronically Reliable Neural Interfaces: A Materials Perspective
title The Pursuit of Chronically Reliable Neural Interfaces: A Materials Perspective
title_full The Pursuit of Chronically Reliable Neural Interfaces: A Materials Perspective
title_fullStr The Pursuit of Chronically Reliable Neural Interfaces: A Materials Perspective
title_full_unstemmed The Pursuit of Chronically Reliable Neural Interfaces: A Materials Perspective
title_short The Pursuit of Chronically Reliable Neural Interfaces: A Materials Perspective
title_sort pursuit of chronically reliable neural interfaces: a materials perspective
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5186773/
https://www.ncbi.nlm.nih.gov/pubmed/28082862
http://dx.doi.org/10.3389/fnins.2016.00599
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